Menu
GWAS Study

Modulation of genetic associations with serum urate levels by body-mass-index in humans.

Huffman JE, Albrecht E, Teumer A et al.

25811787 PubMed ID
GWAS Study Type
15282 Participants
Scroll to explore
Chapter I

Publication Details

Comprehensive information about this research publication

Authors

HJ
Huffman JE
AE
Albrecht E
TA
Teumer A
MM
Mangino M
KK
Kapur K
JT
Johnson T
KZ
Kutalik Z
PN
Pirastu N
PG
Pistis G
LL
Lopez LM
HT
Haller T
SP
Salo P
GA
Goel A
LM
Li M
TT
Tanaka T
DA
Dehghan A
RD
Ruggiero D
MG
Malerba G
SA
Smith AV
NI
Nolte IM
PL
Portas L
PA
Phipps-Green A
BL
Boteva L
NP
Navarro P
JA
Johansson A
HA
Hicks AA
PO
Polasek O
ET
Esko T
PJ
Peden JF
HS
Harris SE
MF
Murgia F
WS
Wild SH
TA
Tenesa A
TA
Tin A
ME
Mihailov E
GA
Grotevendt A
GG
Gislason GK
CJ
Coresh J
DP
D'Adamo P
US
Ulivi S
VP
Vollenweider P
WG
Waeber G
CS
Campbell S
KI
Kolcic I
FK
Fisher K
VM
Viigimaa M
MJ
Metter JE
MC
Masciullo C
TE
Trabetti E
BC
Bombieri C
SR
Sorice R
DA
Döring A
RE
Reischl E
SK
Strauch K
HA
Hofman A
UA
Uitterlinden AG
WM
Waldenberger M
WH
Wichmann HE
DG
Davies G
GA
Gow AJ
DN
Dalbeth N
SL
Stamp L
SJ
Smit JH
KM
Kirin M
NR
Nagaraja R
NM
Nauck M
SC
Schurmann C
BK
Budde K
FS
Farrington SM
TE
Theodoratou E
JA
Jula A
SV
Salomaa V
SC
Sala C
HC
Hengstenberg C
BM
Burnier M
MR
Mägi R
KN
Klopp N
KS
Kloiber S
SS
Schipf S
RS
Ripatti S
CS
Cabras S
SN
Soranzo N
HG
Homuth G
NT
Nutile T
MP
Munroe PB
HN
Hastie N
CH
Campbell H
RI
Rudan I
CC
Cabrera C
HC
Haley C
FO
Franco OH
MT
Merriman TR
GV
Gudnason V
PM
Pirastu M
PB
Penninx BW
SH
Snieder H
MA
Metspalu A
CM
Ciullo M
PP
Pramstaller PP
VD
van Duijn CM
FL
Ferrucci L
GG
Gambaro G
DI
Deary IJ
DM
Dunlop MG
WJ
Wilson JF
GP
Gasparini P
GU
Gyllensten U
ST
Spector TD
WA
Wright AF
HC
Hayward C
WH
Watkins H
PM
Perola M
BM
Bochud M
KW
Kao WH
CM
Caulfield M
TD
Toniolo D
VH
Völzke H
GC
Gieger C
KA
Köttgen A
VV
Vitart V
Chapter II

Abstract

Summary of the research findings

We tested for interactions between body mass index (BMI) and common genetic variants affecting serum urate levels, genome-wide, in up to 42569 participants. Both stratified genome-wide association (GWAS) analyses, in lean, overweight and obese individuals, and regression-type analyses in a non BMI-stratified overall sample were performed. The former did not uncover any novel locus with a major main effect, but supported modulation of effects for some known and potentially new urate loci. The latter highlighted a SNP at RBFOX3 reaching genome-wide significant level (effect size 0.014, 95% CI 0.008-0.02, Pinter= 2.6 x 10-8). Two top loci in interaction term analyses, RBFOX3 and ERO1LB-EDARADD, also displayed suggestive differences in main effect size between the lean and obese strata. All top ranking loci for urate effect differences between BMI categories were novel and most had small magnitude but opposite direction effects between strata. They include the locus RBMS1-TANK (men, Pdifflean-overweight= 4.7 x 10-8), a region that has been associated with several obesity related traits, and TSPYL5 (men, Pdifflean-overweight= 9.1 x 10-8), regulating adipocytes-produced estradiol. The top-ranking known urate loci was ABCG2, the strongest known gout risk locus, with an effect halved in obese compared to lean men (Pdifflean-obese= 2 x 10-4). Finally, pathway analysis suggested a role for N-glycan biosynthesis as a prominent urate-associated pathway in the lean stratum. These results illustrate a potentially powerful way to monitor changes occurring in obesogenic environment.

up to 5,529 European ancestry male individuals, up to 9,753 European ancestry female individuals

Chapter III

Study Statistics

Key metrics and study information

15282
Total Participants
GWAS
Study Type
Yes
Replicated
13,959 European ancestry individuals
Replication Participants
European
Ancestry
Chapter IV

Analysis

Comprehensive review of health and genetic findings

Important Disclaimer: This review has been performed semi-automatically and is provided for informational purposes only. While we strive for accuracy, this analysis may contain errors, omissions, or misinterpretations of the original research. DNA Genics disclaims all liability for any inaccuracies, errors, or consequences arising from the use of this information. Users should independently verify all information and consult original research publications before making any decisions based on this content. This analysis is not intended as a substitute for professional scientific review or medical advice.

Analysis In Progress

Our analysis of this publication is currently being prepared. Please check back soon for comprehensive insights into the health and genetic findings discussed in this research.